Inference and optimal design of multiple constant-stress testing for generalized half-normal distribution under type-II progressive censoring

The generalized half-normal (GHN) distribution and progressive type-II censoring are considered in this article for studying some statistical inferences of constant-stress accelerated life testing. The EM algorithm is considered to calculate the maximum likelihood estimates. Fisher information matrix is formed depending on the missing information law and it is utilized for structuring the asymptomatic confidence intervals. Further, interval estimation is discussed through bootstrap intervals. The Tierney and Kadane method, importance sampling procedure and Metropolis-Hastings algorithm are utilized to compute Bayesian estimates. Furthermore, predictive estimates for censored data and the related prediction intervals are obtained. We consider three optimality criteria to find out the optimal stress level. A real data set is used to illustrate the importance of GHN distribution as an alternative lifetime model for well-known distributions. Finally, a simulation study is provided with discussion.     

Random effects regression mixtures for analyzing infant habituation

Random effects regression mixture models are a way to classify longitudinal data (or trajectories) having possibly varying lengths. The mixture structure of the traditional random effects regression mixture model arises through the distribution of the random regression coefficients, which is assumed to be a mixture of multivariate normals. An extension of this standard model is presented that accounts for various levels of heterogeneity among the trajectories, depending on their assumed error structure. A standard likelihood ratio test is presented for testing this error structure assumption. Full details of an expectation-conditional maximization algorithm for maximum likelihood estimation are also presented. This model is used to analyze data from an infant habituation experiment, where it is desirable to assess whether infants comprise different populations in terms of their habituation time.     

对区域高等教育战略规划的若干思考--基于《加利福尼亚州高等教育总体规划（1960-1975）》的分析

《加利福尼亚州高等教育总体规划（1960—1975）》是区域高等教育战略规划领域的成功范例，规划内容通过州宪法性效力、州法律法规性效力以及行业约定性效力三种形式发挥作用。准确把握关键问题、秉持院校自治理念、深入开展调研等做法值得借鉴。我国区域高等教育机遇与挑战并存，教育规划应当坚持治理理念、以人为本理念和系统论理念，对区域高校定位作出合理预期与安排，引导区域高等教育健康和谐发展。     

乔伊斯的文学实验精神在小说整体布局中的体现

爱尔兰著名作家詹姆斯·乔伊斯在其文学作品创作过程中始终追求艺术形式的创新.作为20世纪初现代主义文学倾向的代表人物,乔伊斯在小说<一个青年艺术家的肖像>中大胆突破传统,以强烈的文学实验精神将其创作理论应用到实际创作中.以时间、意识和技巧为创作中心,生动展示了主人公斯蒂芬·迪达勒斯的现代精神气质.本文以其代表作小说<一个青年艺术家的肖像>为实例,旨在从两个方面展示乔伊斯的文学实验精神,即乔伊斯美学理论在实际创作中的应用以及其现代主义创作技巧在体现小说整体布局中的作用.     

语言·命运·历史——论吉本《苏格兰的书》

苏格兰小说家吉本最著名的作品是其三部曲《苏格兰的书》。这部小说在语言的运用上独具特色 ,对女主人公命运的关注显示出这位男性作家超前的女性主义意识。而小说的叙述结构所蕴含的历史观则是进步和乐观的     

论《世说新语·贤媛》之"贤"

通过分析《世说新语.贤媛》中女性的特征,指出了“贤”之一字不同于封建礼教所要求的新的内涵,并阐述了产生这种变化的原因,以及这种新的审美理想的意义。     

基于TMS320C40的FFT算法改进及应用

讨论了充分利用C4 0的硬件并行结构进行实数FFT的并行算法 ,并在地震勘探信号处理中得以应用     

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Summary.  Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical trials. However, these measures are often incompletely observed, and investigators may suspect that missing quality-of-life data are likely to be non-ignorable. Although several recent references have addressed missing covariates in survival analysis, they all required the assumption that missingness is at random or that all covariates are discrete. We present a method for estimating the parameters in the Cox proportional hazards model when missing covariates may be non-ignorable and continuous or discrete. Our method is useful in reducing the bias and improving efficiency in the presence of missing data. The methodology clearly specifies assumptions about the missing data mechanism and, through sensitivity analysis, helps investigators to understand the potential effect of missing data on study results.     

基于RSA的电子商务信息加密技术研究

21世纪是网络信息时代,电子商务的迅猛发展和普及打破了人们传统的经营和消费理念,网上消费已成为一种新的消费形式,但随之而来的便是电子商务赖以生存和发展的安全问题。文章主要通过对电子商务安全隐患的分析,论证了数据加密技术在电子商务安全中的作用,重点探讨了RSA公钥加密算法,并通过实例对其加密原理、计算复杂性等安全性问题作了详尽的分析和阐述。     

A semi-parametric approach to robust parameter design

Parameter design or robust parameter design (RPD) is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of RPD involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. Most response surface experiments involve sparse data. In sparse data situations with unusual curvature in the underlying function, nonparametric techniques often result in estimates with problematic variation whereas their parametric counterparts may result in estimates with problematic bias. We propose the use of semi-parametric modeling within the robust design setting, combining parametric and nonparametric functions to improve the quality of both mean and variance model estimation. The proposed method will be illustrated with an example and simulations.